Execution layer for
enterprise agents.

Give your agents the tools to get work done.
Set permissions and follow every run in one place.

OpenAI Agents API compatible. Model agnostic.

Run

Run Agents in the cloud

Give every Agent durable execution and the tools to finish real work, without building or operating the execution stack.

Durable execution
Keep context and continue work across Conversations.
Real tools
Give Agents browsers, files, compute, Skills, and apps.
Any surface
Run the same Agent through your API, product, CLI, or Slack.

Control

Control what it can do

Set capabilities and boundaries before work begins. Rebyte enforces the same policy across every run and every surface.

  • Slack
  • Gmail
  • Notion
  • Google Drive
  • Salesforce
  • Microsoft Teams

Skills, MCP, and hundreds of connected apps

Capabilities
Approve the models, Skills, MCP servers, tools, and apps it may use.
Boundaries
Restrict network access, credentials, execution steps, and spend.
Policy
Define the Agent once and apply the same controls to every run.

Observe & improve

See what happened.
Improve what happens next.

Turn production runs into a feedback loop. Observe the execution, annotate the outcome, and help the Agent improve over time.

Observe
Trace every model step, tool call, error, token, and cost.
Annotate
Mark the outcomes worth repeating and the ones that need correction.
Improve
Feed production evidence back into instructions, Skills, and evaluations.
Production Agent trace showing model steps and tool calls
A complete production run, from first model step to final response.

Run your first Agent

Get an organization API key, define an Agent, and start a Session. Add Skills, MCP servers, and Runtime controls when the job needs them.